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Novarithm Agent Hub: trust and commerce checks

seo_keywords_content

[PAID $0.01 USDC/call, x402, eip155:8453] On-page keyword and content analysis: focus keyword (given or detected) placement in title/H1/meta/first 100 words/URL, density, top terms and phrases, headings outline, FAQ questions, word count, readability. Score + fixes.

Input Schema

NameRequiredDescriptionDefault
urlYesPublic page URL or domain, e.g. https://www.example.com/ or example.com
targetNoOptional focus keyword to check, e.g. 'parfum oriental'

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are supplied, so the description carries the burden, and it does disclose the critical trait that this is a paid call ($0.01 USDC, x402, eip155:8453) plus what the response contains (score + fixes). It does not cover failure behavior for unreachable pages or payment prerequisites, so it stops short of full disclosure.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The payment/network tag leads, followed by the capability summary and expected output, so the important facts are front-loaded. The middle is a long comma-chained list, but each item maps to a distinct analysis dimension rather than padding.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With only two well-documented params and no output schema, the description is nearly self-sufficient: it discloses cost, scope, and result shape. The remaining gap is the absence of any note on input validation or what happens when the URL is not publicly reachable.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is already 100%, so the baseline is 3, but the description adds real semantics by noting the focus keyword can be 'given or detected' — telling the agent that `target` is optional and that auto-detection occurs when omitted. That is meaning beyond the schema's plain field description.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource: on-page keyword and content analysis, with an enumerated scope (title/H1/meta/first 100 words/URL placement, density, headings, FAQ, readability). This clearly separates it from technical or link-focused siblings like seo_technical_audit and seo_internal_links, though no sibling is named explicitly.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is implied by the scope list — call it on a single page to check keyword placement and content quality — but there is no explicit statement of when to prefer this over seo_full_audit or seo_technical_audit. The agent must infer the boundary itself.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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